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Mactores

Posted 19 months ago

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Generative AI Engineer

MumbaiRemoteFull-time

AI Summary

Generative AI Engineer develops and deploys cutting-edge generative AI models, builds RAG pipelines, and integrates AI solutions into production-grade applications.

About this role

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are seeking a highly skilled and innovative Generative AI Engineer to join our team. In this role, you will develop and deploy cutting-edge generative AI models to solve real-world problems. You will work on building models that generate content, understand complex data, and collaborate closely with cross-functional teams to implement AI-powered solutions.

What you will do?

  • Design and implement generative AI solutions using large language models (LLMs).
  • Apply prompt engineering techniques and build scalable Retrieval-Augmented Generation (RAG) systems.
  • Fine-tune and optimize models for performance, cost, and reliability.
  • Leverage AWS services such as Bedrock, SageMaker, and Lambda for deployment and inference.
  • Develop APIs and backend components for production-grade AI applications.
  • Implement observability, performance monitoring, and security best practices.
  • Drive responsible AI adoption through evaluation, bias detection, and compliance.

    • What are we looking for?

  • 3+ years of experience in Python with strong software engineering fundamentals.
  • Hands-on experience with LLMs and prompt engineering strategies.
  • Experience designing RAG pipelines and working with vector databases.
  • Proficiency in model fine-tuning (e.g., LoRA) and embedding-based systems.
  • Experience with cloud platforms and deploying AI models in production.
  • Strong debugging, optimization, and problem-solving skills.
  • Clear and effective technical communication.
  • Production-first mindset with attention to cost, reliability, and performance.

    • Preferred Qualifications

  • Practical experience with frameworks like LangChain or LlamaIndex.
  • Exposure to multi-modal AI systems.
  • Familiarity with ML/MLOps and large-scale deployment practices.
  • Experience supporting systems at high request volumes.

    • Skills

    APIsAWS BedrockBackend DevelopmentBias DetectionComplianceEmbedding-based SystemsLambdaLangChainLlamaIndexLLMsLoRAML/MLOpsObservabilityPrompt EngineeringPythonRAG PipelinesSagemakerSecurity Best PracticesVector Databases

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